Resume and JobRESUME AND JOB
Crusoe logo

Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!

Crusoe

Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!

full-timePosted: Jan 29, 2026

Job Description

Staff Software Engineer, Managed AI - Crusoe

Role Overview

Crusoe is on a mission to accelerate the abundance of energy and intelligence, building the engine that powers a world where people can create ambitiously with AI – without sacrificing scale, speed, or sustainability. As a Staff Software Engineer on the Managed AI team, you will play a crucial role in designing, developing, and scaling our next-generation AI inference platform. This role involves leading the implementation of core systems such as resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. You'll build infrastructure capable of handling millions of API requests per second, serving large language models (LLMs) to a global audience.

A Day in the Life

Your day will involve a mix of system design, coding, collaboration, and problem-solving. You might start by reviewing the performance of existing AI services and identifying areas for optimization. Then, you could work on designing a new feature for the model catalog, ensuring it supports versioning and metadata management effectively. Collaboration with product management and other engineering teams will be essential to align on priorities and technical requirements. You'll also spend time prototyping new technologies, contributing to open-source projects, and participating in code reviews.

Why San Francisco?

San Francisco is a global hub for technology and innovation, offering unparalleled opportunities for career growth and learning. Being located in San Francisco allows you to connect with a vibrant community of AI experts, attend industry events, and collaborate with leading companies. Crusoe's presence in San Francisco provides access to top talent and resources, fostering a dynamic and innovative work environment.

Career Path

This Staff Software Engineer role offers a clear path for career advancement within Crusoe. You can progress to a Principal Engineer role, leading larger and more complex projects. Alternatively, you can move into engineering management, guiding a team of talented engineers. Crusoe is committed to providing opportunities for professional development and growth, supporting your career aspirations with training programs and mentorship opportunities.

Salary & Benefits

Crusoe offers a competitive salary and benefits package, commensurate with experience and qualifications. The estimated salary range for this role in San Francisco is $180,000 - $280,000 per year. In addition to salary, Crusoe provides comprehensive health, dental, and vision insurance, generous paid time off, a 401(k) plan with company match, and various other benefits to support your well-being and professional growth.

Crusoe Culture

At Crusoe, we foster a culture of innovation, collaboration, and impact. We are committed to building a diverse and inclusive workplace where everyone feels valued and empowered to contribute their best work. We encourage open communication, continuous learning, and a passion for solving complex problems. Our team is driven by a shared mission to accelerate the abundance of energy and intelligence in a sustainable way.

How to Apply

To apply for the Staff Software Engineer, Managed AI role, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience, skills, and accomplishments, and explain why you are interested in joining Crusoe. We carefully review all applications and will contact qualified candidates for an interview.

Frequently Asked Questions (FAQ)

  1. What is Crusoe's mission? Crusoe's mission is to accelerate the abundance of energy and intelligence.
  2. What is the Managed AI team responsible for? The Managed AI team is responsible for building and scaling Crusoe's next-generation AI inference platform.
  3. What are the key responsibilities of a Staff Software Engineer on the Managed AI team? Key responsibilities include designing and implementing core AI services, scaling infrastructure, and collaborating with cross-functional teams.
  4. What skills and experience are required for this role? Required skills include experience in distributed systems, AI/ML, container runtimes, and software engineering.
  5. What is the career path for this role? The career path includes opportunities to progress to Principal Engineer or Engineering Management roles.
  6. What is the salary range for this role? The estimated salary range for this role in San Francisco is $180,000 - $280,000 per year.
  7. What benefits does Crusoe offer? Crusoe offers comprehensive health, dental, and vision insurance, generous paid time off, a 401(k) plan with company match, and other benefits.
  8. What is the work environment like at Crusoe? Crusoe fosters a culture of innovation, collaboration, and impact.
  9. How can I apply for this role? You can apply by submitting your resume and cover letter through our online application portal.
  10. What is Crusoe doing to promote sustainability? Crusoe is committed to accelerating the abundance of energy and intelligence in a sustainable way.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Distributed Systemsintermediate
  • Generative AIintermediate
  • Large Language Models (LLMs)intermediate
  • Multimodal AIintermediate
  • AI Infrastructureintermediate
  • AI Trainingintermediate
  • AI Inferenceintermediate
  • ETL Pipelinesintermediate
  • Container Runtimesintermediate
  • Kubernetesintermediate
  • Microservices Architectureintermediate
  • REST APIsintermediate
  • gRPCintermediate
  • Cloud Computingintermediate
  • Elastic Computeintermediate
  • Object Storageintermediate
  • Virtual Private Networks (VPNs)intermediate
  • Managed Databasesintermediate
  • Software Engineeringintermediate
  • System Designintermediate
  • API Developmentintermediate
  • Performance Optimizationintermediate
  • Monitoringintermediate
  • Alertingintermediate
  • Open-Source Contributionsintermediate
  • Prototypingintermediate
  • Version Control (e.g., Git)intermediate
  • Agile Developmentintermediate
  • Problem-solvingintermediate
  • Communicationintermediate
  • Teamworkintermediate

Required Qualifications

  • Advanced degree in Computer Science, Engineering, or related field. (experience)
  • Demonstrable experience in distributed systems design and implementation. (experience)
  • Proven track record of delivering early-stage projects under tight deadlines. (experience)
  • Expertise in using cloud-based services (e.g., elastic compute, object storage, virtual private networks, managed database). (experience)
  • Experience in Generative AI (Large Language Models, Multimodal). (experience)
  • Familiarity with AI infrastructure, including training, inference, and ETL pipelines. (experience)
  • Experience with container runtimes (e.g., Kubernetes) and microservices architectures. (experience)
  • Experience using REST APIs and common communication protocols, such as gRPC. (experience)
  • Strong software engineering skills and experience with relevant programming languages (e.g., Python, Go, Java). (experience)
  • Ability to collaborate effectively with cross-functional teams. (experience)
  • Strong problem-solving and analytical skills. (experience)
  • Excellent communication and interpersonal skills. (experience)
  • Experience with performance optimization and scaling techniques. (experience)

Responsibilities

  • Lead the design and implementation of core AI services.
  • Design and build resilient fault-tolerant queues for efficient task distribution.
  • Develop and maintain model catalogs for managing and versioning AI models.
  • Implement scheduling mechanisms optimized for cost and performance.
  • Develop high-performance APIs for serving AI models to customers.
  • Build and scale infrastructure to handle millions of API requests per second.
  • Optimize AI inference performance on GPU-based systems.
  • Implement robust monitoring and alerting to ensure system health and availability.
  • Collaborate closely with product management, business strategy, and other engineering teams.
  • Influence the long-term vision and architectural decisions of the AI platform.
  • Contribute to open-source AI frameworks and participate in the AI community.
  • Prototype and iterate on new features and technologies.
  • Ensure code quality through testing and code reviews.
  • Participate in on-call rotations to maintain system reliability.

Benefits

  • general: Competitive salary and equity options.
  • general: Comprehensive health, dental, and vision insurance.
  • general: Generous paid time off and holidays.
  • general: 401(k) plan with company match.
  • general: Professional development opportunities.
  • general: Opportunity to work on cutting-edge AI technology.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to make a significant impact on Crusoe's business growth.
  • general: Employee assistance program.
  • general: Flexible spending accounts (FSA) for healthcare and dependent care.
  • general: Life insurance and disability coverage.
  • general: Commuter benefits.
  • general: Company-sponsored events and activities.
  • general: Wellness programs.
  • general: Stocked kitchen with snacks and drinks.
  • general: On-site gym or gym membership reimbursement (location dependent).

Target Your Resume for "Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!" , Crusoe

Get personalized recommendations to optimize your resume specifically for Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!" , Crusoe

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AIMachine LearningSoftware EngineeringCloud ComputingDistributed SystemsSan FranciscoFull-timeOn-siteStaff Software EngineerManaged AIArtificial IntelligenceAI InferenceLarge Language ModelsLLMsCaliforniaCrusoe EnergyKubernetesMicroservicesAPI DevelopmentGPUPerformance OptimizationModel CatalogFault-Tolerant QueuesScheduling MechanismsInference PipelinesGenerative AIAI InfrastructureTechnology JobsGreen TechAI InfrastructureCloudEngineering

Answer 10 quick questions to check your fit for Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now! @ Crusoe.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.

Crusoe logo

Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!

Crusoe

Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!

full-timePosted: Jan 29, 2026

Job Description

Staff Software Engineer, Managed AI - Crusoe

Role Overview

Crusoe is on a mission to accelerate the abundance of energy and intelligence, building the engine that powers a world where people can create ambitiously with AI – without sacrificing scale, speed, or sustainability. As a Staff Software Engineer on the Managed AI team, you will play a crucial role in designing, developing, and scaling our next-generation AI inference platform. This role involves leading the implementation of core systems such as resilient fault-tolerant queues, model catalogs, and scheduling mechanisms optimized for cost and performance. You'll build infrastructure capable of handling millions of API requests per second, serving large language models (LLMs) to a global audience.

A Day in the Life

Your day will involve a mix of system design, coding, collaboration, and problem-solving. You might start by reviewing the performance of existing AI services and identifying areas for optimization. Then, you could work on designing a new feature for the model catalog, ensuring it supports versioning and metadata management effectively. Collaboration with product management and other engineering teams will be essential to align on priorities and technical requirements. You'll also spend time prototyping new technologies, contributing to open-source projects, and participating in code reviews.

Why San Francisco?

San Francisco is a global hub for technology and innovation, offering unparalleled opportunities for career growth and learning. Being located in San Francisco allows you to connect with a vibrant community of AI experts, attend industry events, and collaborate with leading companies. Crusoe's presence in San Francisco provides access to top talent and resources, fostering a dynamic and innovative work environment.

Career Path

This Staff Software Engineer role offers a clear path for career advancement within Crusoe. You can progress to a Principal Engineer role, leading larger and more complex projects. Alternatively, you can move into engineering management, guiding a team of talented engineers. Crusoe is committed to providing opportunities for professional development and growth, supporting your career aspirations with training programs and mentorship opportunities.

Salary & Benefits

Crusoe offers a competitive salary and benefits package, commensurate with experience and qualifications. The estimated salary range for this role in San Francisco is $180,000 - $280,000 per year. In addition to salary, Crusoe provides comprehensive health, dental, and vision insurance, generous paid time off, a 401(k) plan with company match, and various other benefits to support your well-being and professional growth.

Crusoe Culture

At Crusoe, we foster a culture of innovation, collaboration, and impact. We are committed to building a diverse and inclusive workplace where everyone feels valued and empowered to contribute their best work. We encourage open communication, continuous learning, and a passion for solving complex problems. Our team is driven by a shared mission to accelerate the abundance of energy and intelligence in a sustainable way.

How to Apply

To apply for the Staff Software Engineer, Managed AI role, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience, skills, and accomplishments, and explain why you are interested in joining Crusoe. We carefully review all applications and will contact qualified candidates for an interview.

Frequently Asked Questions (FAQ)

  1. What is Crusoe's mission? Crusoe's mission is to accelerate the abundance of energy and intelligence.
  2. What is the Managed AI team responsible for? The Managed AI team is responsible for building and scaling Crusoe's next-generation AI inference platform.
  3. What are the key responsibilities of a Staff Software Engineer on the Managed AI team? Key responsibilities include designing and implementing core AI services, scaling infrastructure, and collaborating with cross-functional teams.
  4. What skills and experience are required for this role? Required skills include experience in distributed systems, AI/ML, container runtimes, and software engineering.
  5. What is the career path for this role? The career path includes opportunities to progress to Principal Engineer or Engineering Management roles.
  6. What is the salary range for this role? The estimated salary range for this role in San Francisco is $180,000 - $280,000 per year.
  7. What benefits does Crusoe offer? Crusoe offers comprehensive health, dental, and vision insurance, generous paid time off, a 401(k) plan with company match, and other benefits.
  8. What is the work environment like at Crusoe? Crusoe fosters a culture of innovation, collaboration, and impact.
  9. How can I apply for this role? You can apply by submitting your resume and cover letter through our online application portal.
  10. What is Crusoe doing to promote sustainability? Crusoe is committed to accelerating the abundance of energy and intelligence in a sustainable way.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Distributed Systemsintermediate
  • Generative AIintermediate
  • Large Language Models (LLMs)intermediate
  • Multimodal AIintermediate
  • AI Infrastructureintermediate
  • AI Trainingintermediate
  • AI Inferenceintermediate
  • ETL Pipelinesintermediate
  • Container Runtimesintermediate
  • Kubernetesintermediate
  • Microservices Architectureintermediate
  • REST APIsintermediate
  • gRPCintermediate
  • Cloud Computingintermediate
  • Elastic Computeintermediate
  • Object Storageintermediate
  • Virtual Private Networks (VPNs)intermediate
  • Managed Databasesintermediate
  • Software Engineeringintermediate
  • System Designintermediate
  • API Developmentintermediate
  • Performance Optimizationintermediate
  • Monitoringintermediate
  • Alertingintermediate
  • Open-Source Contributionsintermediate
  • Prototypingintermediate
  • Version Control (e.g., Git)intermediate
  • Agile Developmentintermediate
  • Problem-solvingintermediate
  • Communicationintermediate
  • Teamworkintermediate

Required Qualifications

  • Advanced degree in Computer Science, Engineering, or related field. (experience)
  • Demonstrable experience in distributed systems design and implementation. (experience)
  • Proven track record of delivering early-stage projects under tight deadlines. (experience)
  • Expertise in using cloud-based services (e.g., elastic compute, object storage, virtual private networks, managed database). (experience)
  • Experience in Generative AI (Large Language Models, Multimodal). (experience)
  • Familiarity with AI infrastructure, including training, inference, and ETL pipelines. (experience)
  • Experience with container runtimes (e.g., Kubernetes) and microservices architectures. (experience)
  • Experience using REST APIs and common communication protocols, such as gRPC. (experience)
  • Strong software engineering skills and experience with relevant programming languages (e.g., Python, Go, Java). (experience)
  • Ability to collaborate effectively with cross-functional teams. (experience)
  • Strong problem-solving and analytical skills. (experience)
  • Excellent communication and interpersonal skills. (experience)
  • Experience with performance optimization and scaling techniques. (experience)

Responsibilities

  • Lead the design and implementation of core AI services.
  • Design and build resilient fault-tolerant queues for efficient task distribution.
  • Develop and maintain model catalogs for managing and versioning AI models.
  • Implement scheduling mechanisms optimized for cost and performance.
  • Develop high-performance APIs for serving AI models to customers.
  • Build and scale infrastructure to handle millions of API requests per second.
  • Optimize AI inference performance on GPU-based systems.
  • Implement robust monitoring and alerting to ensure system health and availability.
  • Collaborate closely with product management, business strategy, and other engineering teams.
  • Influence the long-term vision and architectural decisions of the AI platform.
  • Contribute to open-source AI frameworks and participate in the AI community.
  • Prototype and iterate on new features and technologies.
  • Ensure code quality through testing and code reviews.
  • Participate in on-call rotations to maintain system reliability.

Benefits

  • general: Competitive salary and equity options.
  • general: Comprehensive health, dental, and vision insurance.
  • general: Generous paid time off and holidays.
  • general: 401(k) plan with company match.
  • general: Professional development opportunities.
  • general: Opportunity to work on cutting-edge AI technology.
  • general: Collaborative and supportive work environment.
  • general: Opportunity to make a significant impact on Crusoe's business growth.
  • general: Employee assistance program.
  • general: Flexible spending accounts (FSA) for healthcare and dependent care.
  • general: Life insurance and disability coverage.
  • general: Commuter benefits.
  • general: Company-sponsored events and activities.
  • general: Wellness programs.
  • general: Stocked kitchen with snacks and drinks.
  • general: On-site gym or gym membership reimbursement (location dependent).

Target Your Resume for "Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!" , Crusoe

Get personalized recommendations to optimize your resume specifically for Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!" , Crusoe

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AIMachine LearningSoftware EngineeringCloud ComputingDistributed SystemsSan FranciscoFull-timeOn-siteStaff Software EngineerManaged AIArtificial IntelligenceAI InferenceLarge Language ModelsLLMsCaliforniaCrusoe EnergyKubernetesMicroservicesAPI DevelopmentGPUPerformance OptimizationModel CatalogFault-Tolerant QueuesScheduling MechanismsInference PipelinesGenerative AIAI InfrastructureTechnology JobsGreen TechAI InfrastructureCloudEngineering

Answer 10 quick questions to check your fit for Staff Software Engineer, Managed AI Careers at Crusoe - San Francisco, California | Apply Now! @ Crusoe.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.